{"id":3409,"date":"2023-07-17T15:39:31","date_gmt":"2023-07-17T15:39:31","guid":{"rendered":"https:\/\/statorials.org\/id\/panda-melompati-barisan\/"},"modified":"2023-07-17T15:39:31","modified_gmt":"2023-07-17T15:39:31","slug":"panda-melompati-barisan","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/panda-melompati-barisan\/","title":{"rendered":"Pandas: cara melewati baris saat membaca file csv"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">Anda dapat menggunakan metode berikut untuk melewati baris saat membaca file CSV ke dalam pandas DataFrame:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Metode 1: Lewati baris tertentu<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#import DataFrame and skip 2nd row\n<\/span>df = pd. <span style=\"color: #3366ff;\">read_csv<\/span> ('my_data.csv', skiprows=[ <span style=\"color: #008000;\">2<\/span> ])\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>Metode 2: Mengabaikan Beberapa Baris Tertentu<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#import DataFrame and skip 2nd and 4th row\n<\/span>df = pd. <span style=\"color: #3366ff;\">read_csv<\/span> (' <span style=\"color: #008000;\">my_data.csv', skiprows=[2,4<\/span> <span style=\"color: #008000;\">]<\/span> )<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>Metode 3: abaikan N baris pertama<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#import DataFrame and skip first 2 rows\n<\/span>df = pd. <span style=\"color: #3366ff;\">read_csv<\/span> ('my_data.csv', skiprows= <span style=\"color: #008000;\">2<\/span> )<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Contoh berikut menunjukkan cara menggunakan setiap metode dalam praktik dengan file CSV berikut yang disebut <strong>basket_data.csv<\/strong> :<\/span> <\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-28596 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/sauter1-1.jpg\" alt=\"\" width=\"435\" height=\"318\" srcset=\"\" sizes=\"\"><\/p>\n<h2> <span style=\"color: #000000;\"><strong>Contoh 1: Abaikan baris tertentu<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">Kita dapat menggunakan kode berikut untuk mengimpor file CSV dan mengabaikan baris kedua:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <b><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#import DataFrame and skip 2nd row\n<\/span>df = pd. <span style=\"color: #3366ff;\">read_csv<\/span> ('basketball_data.csv', skiprows=[ <span style=\"color: #008000;\">2<\/span> ])\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span>df\n\n        team points rebounds\n0 to 22 10\n1 C 29 6\n2 D 30 2\n<\/b><\/pre>\n<p> <span style=\"color: #000000;\">Perhatikan bahwa baris kedua (dengan tim &#8220;B&#8221;) diabaikan saat mengimpor file CSV ke pandas DataFrame.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Catatan<\/strong> : Baris pertama file CSV dianggap sebagai baris 0.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>Contoh 2: Mengabaikan beberapa baris tertentu<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">Kita dapat menggunakan kode berikut untuk mengimpor file CSV dan melewati baris kedua dan keempat:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <b><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#import DataFrame and skip 2nd and 4th rows\n<\/span>df = pd. <span style=\"color: #3366ff;\">read_csv<\/span> ('basketball_data.csv', skiprows=[ <span style=\"color: #008000;\">2<\/span> , <span style=\"color: #008000;\">4<\/span> ])\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span>df\n\n        team points rebounds\n0 to 22 10\n1 C 29 6\n<\/b><\/pre>\n<p> <span style=\"color: #000000;\">Perhatikan bahwa baris kedua dan keempat (dengan tim &#8220;B&#8221; dan &#8220;D&#8221;) diabaikan saat mengimpor file CSV ke pandas DataFrame.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>Contoh 3: abaikan N baris pertama<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">Kita dapat menggunakan kode berikut untuk mengimpor file CSV dan melewati dua baris pertama:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <b><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#import DataFrame and skip first 2 rows\n<\/span>df = pd. <span style=\"color: #3366ff;\">read_csv<\/span> ('basketball_data.csv', skiprows= <span style=\"color: #008000;\">2<\/span> )\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span>df\n\n        B 14 9\n0 C 29 6\n1 D 30 2\n<\/b><\/pre>\n<p> <span style=\"color: #000000;\">Perhatikan bahwa dua baris pertama file CSV telah dilewati dan baris berikutnya yang tersedia (dengan tim &#8220;B&#8221;) telah menjadi baris header DataFrame.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>Sumber daya tambahan<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">Tutorial berikut menjelaskan cara melakukan tugas umum lainnya dengan Python:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/id\/panda-membaca-excel\/\" target=\"_blank\" rel=\"noopener\">Cara membaca file Excel dengan Pandas<\/a><br \/> <a href=\"https:\/\/statorials.org\/id\/ekspor-kerangka-data-panda-ke-excel\/\" target=\"_blank\" rel=\"noopener\">Cara mengekspor Pandas DataFrame ke Excel<\/a><br \/> <a href=\"https:\/\/statorials.org\/id\/tabel-numpy-di-csv\/\">Cara mengekspor array NumPy ke file CSV<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Anda dapat menggunakan metode berikut untuk melewati baris saat membaca file CSV ke dalam pandas DataFrame: Metode 1: Lewati baris tertentu #import DataFrame and skip 2nd row df = pd. read_csv (&#8216;my_data.csv&#8217;, skiprows=[ 2 ]) Metode 2: Mengabaikan Beberapa Baris Tertentu #import DataFrame and skip 2nd and 4th row df = pd. read_csv (&#8216; my_data.csv&#8217;, [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Pandas: Cara melewati baris saat membaca file CSV - Statorials<\/title>\n<meta name=\"description\" content=\"Tutorial ini menjelaskan cara melewati baris saat membaca file CSV di pandas, dengan sebuah contoh.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/id\/panda-melompati-barisan\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas: Cara melewati baris saat membaca file CSV - Statorials\" \/>\n<meta property=\"og:description\" content=\"Tutorial ini menjelaskan cara melewati baris saat membaca file CSV di pandas, dengan sebuah contoh.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/panda-melompati-barisan\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-17T15:39:31+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/sauter1-1.jpg\" \/>\n<meta name=\"author\" content=\"Benjamin anderson\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Ditulis oleh\" \/>\n\t<meta name=\"twitter:data1\" content=\"Benjamin anderson\" \/>\n\t<meta name=\"twitter:label2\" content=\"Estimasi waktu membaca\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 menit\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/id\/panda-melompati-barisan\/\",\"url\":\"https:\/\/statorials.org\/id\/panda-melompati-barisan\/\",\"name\":\"Pandas: Cara melewati baris saat membaca file CSV - Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-17T15:39:31+00:00\",\"dateModified\":\"2023-07-17T15:39:31+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Tutorial ini menjelaskan cara melewati baris saat membaca file CSV di pandas, dengan sebuah contoh.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/panda-melompati-barisan\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/panda-melompati-barisan\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/panda-melompati-barisan\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Pandas: cara melewati baris saat membaca file csv\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/statorials.org\/id\/#website\",\"url\":\"https:\/\/statorials.org\/id\/\",\"name\":\"Statorials\",\"description\":\"Panduan anda untuk kompetensi statistik!\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/statorials.org\/id\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"id\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\",\"name\":\"Benjamin anderson\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"id\",\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/image\/\",\"url\":\"http:\/\/statorials.org\/id\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"contentUrl\":\"http:\/\/statorials.org\/id\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"caption\":\"Benjamin anderson\"},\"description\":\"Halo, saya Benjamin, pensiunan profesor statistika yang menjadi guru Statorial yang berdedikasi. Dengan pengalaman dan keahlian yang luas di bidang statistika, saya ingin berbagi ilmu untuk memberdayakan mahasiswa melalui Statorials. Baca selengkapnya\",\"sameAs\":[\"http:\/\/statorials.org\/id\"]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Pandas: Cara melewati baris saat membaca file CSV - Statorials","description":"Tutorial ini menjelaskan cara melewati baris saat membaca file CSV di pandas, dengan sebuah contoh.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/statorials.org\/id\/panda-melompati-barisan\/","og_locale":"id_ID","og_type":"article","og_title":"Pandas: Cara melewati baris saat membaca file CSV - Statorials","og_description":"Tutorial ini menjelaskan cara melewati baris saat membaca file CSV di pandas, dengan sebuah contoh.","og_url":"https:\/\/statorials.org\/id\/panda-melompati-barisan\/","og_site_name":"Statorials","article_published_time":"2023-07-17T15:39:31+00:00","og_image":[{"url":"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/sauter1-1.jpg"}],"author":"Benjamin anderson","twitter_card":"summary_large_image","twitter_misc":{"Ditulis oleh":"Benjamin anderson","Estimasi waktu membaca":"2 menit"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/statorials.org\/id\/panda-melompati-barisan\/","url":"https:\/\/statorials.org\/id\/panda-melompati-barisan\/","name":"Pandas: Cara melewati baris saat membaca file CSV - Statorials","isPartOf":{"@id":"https:\/\/statorials.org\/id\/#website"},"datePublished":"2023-07-17T15:39:31+00:00","dateModified":"2023-07-17T15:39:31+00:00","author":{"@id":"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81"},"description":"Tutorial ini menjelaskan cara melewati baris saat membaca file CSV di pandas, dengan sebuah contoh.","breadcrumb":{"@id":"https:\/\/statorials.org\/id\/panda-melompati-barisan\/#breadcrumb"},"inLanguage":"id","potentialAction":[{"@type":"ReadAction","target":["https:\/\/statorials.org\/id\/panda-melompati-barisan\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/statorials.org\/id\/panda-melompati-barisan\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/statorials.org\/id\/"},{"@type":"ListItem","position":2,"name":"Pandas: cara melewati baris saat membaca file csv"}]},{"@type":"WebSite","@id":"https:\/\/statorials.org\/id\/#website","url":"https:\/\/statorials.org\/id\/","name":"Statorials","description":"Panduan anda untuk kompetensi statistik!","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/statorials.org\/id\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"id"},{"@type":"Person","@id":"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81","name":"Benjamin anderson","image":{"@type":"ImageObject","inLanguage":"id","@id":"https:\/\/statorials.org\/id\/#\/schema\/person\/image\/","url":"http:\/\/statorials.org\/id\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg","contentUrl":"http:\/\/statorials.org\/id\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg","caption":"Benjamin anderson"},"description":"Halo, saya Benjamin, pensiunan profesor statistika yang menjadi guru Statorial yang berdedikasi. Dengan pengalaman dan keahlian yang luas di bidang statistika, saya ingin berbagi ilmu untuk memberdayakan mahasiswa melalui Statorials. Baca selengkapnya","sameAs":["http:\/\/statorials.org\/id"]}]}},"yoast_meta":{"yoast_wpseo_title":"","yoast_wpseo_metadesc":"","yoast_wpseo_canonical":""},"_links":{"self":[{"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/posts\/3409"}],"collection":[{"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/comments?post=3409"}],"version-history":[{"count":0,"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/posts\/3409\/revisions"}],"wp:attachment":[{"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/media?parent=3409"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/categories?post=3409"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/tags?post=3409"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}